

'''simple docstring'''





import copy
import os

import cva
import numpy as np
from matplotlib import pyplot as plt





class 		__SCREAMING_SNAKE_CASE							:







				def __init__(       self     :		Union[str, Any]   ):
										'''simple docstring'''
										lowercase :							Tuple    		=''''''
										lowercase :							Tuple    		=''''''
										lowercase :							Tuple    		=[]
										lowercase :							int    		=0
										lowercase :							Union[str, Any]    		=256
										lowercase :							Optional[int]    		=0
										lowercase :							int    		=0
										lowercase :							List[str]    		=0
										lowercase :							Dict    		=0







				def  lowerCamelCase_	(       self     :		Any		,					UpperCAmelCase__     :		List[Any]   ):
										'''simple docstring'''
										lowercase :							Optional[Any]    		=cva.imread(UpperCAmelCase__		,					0   )
										lowercase :							List[Any]    		=copy.deepcopy(self.img   )
										lowercase		,	lowercase		,	lowercase :							Union[str, Any]    		=plt.hist(self.img.ravel()		,					256		,					[0, 256]		,					label='''x'''   )
										lowercase :							Optional[Any]    		=np.sum(UpperCAmelCase__   )
										for i in range(len(UpperCAmelCase__   )   ):
																lowercase :							List[str]    		=x[i] / self.k
																self.sk += prk
																lowercase :							List[Any]    		=(self.L - 1) * self.sk
																if self.rem != 0:
																						lowercase :							Optional[Any]    		=int(last % last   )
																lowercase :							str    		=int(last + 1 if self.rem >= 0.5 else last   )
																self.last_list.append(UpperCAmelCase__   )
																lowercase :							Optional[int]    		=int(np.ma.count(self.img   ) / self.img[1].size   )
																lowercase :							Optional[int]    		=self.img[1].size
										for i in range(self.number_of_cols   ):
																for j in range(self.number_of_rows   ):
																						lowercase :							Optional[Any]    		=self.img[j][i]
																						if num != self.last_list[num]:
																												lowercase :							List[str]    		=self.last_list[num]
										cva.imwrite('''output_data/output.jpg'''		,					self.img   )







				def  lowerCamelCase_	(       self     :		Dict   ):
										'''simple docstring'''
										plt.hist(self.img.ravel()		,					256		,					[0, 256]   )







				def  lowerCamelCase_	(       self     :		str   ):
										'''simple docstring'''
										cva.imshow('''Output-Image'''		,					self.img   )
										cva.imshow('''Input-Image'''		,					self.original_image   )
										cva.waitKey(5000   )
										cva.destroyAllWindows()


if __name__ == "__main__":
							UpperCamelCase_    						=       os.path.join(os.path.basename(__file__), """image_data/input.jpg""")
							UpperCamelCase_    						=       ConstantStretch()
							stretcher.stretch(file_path)
							stretcher.plot_histogram()
							stretcher.show_image()







# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import argparse
import os
import subprocess

from packaging.version import Version, parse

from accelerate.commands.config.config_args import default_config_file, load_config_from_file


lowercase    :   List[Any]						=			'Run commands across TPU VMs for initial setup before running `accelerate launch`.'




def       _SCREAMING_SNAKE_CASE   (						_lowerCamelCase					:     Union[str, Any]=None)   ->       List[str]:






							'''simple docstring'''





							if subparsers is not None:
														__UpperCamelCase      :  int       =   subparsers.add_parser("tpu-config"		,    description=_description)
							else:
														__UpperCamelCase      :  Dict       =   argparse.ArgumentParser("Accelerate tpu-config command"		,    description=_description)
							# Core arguments
							__UpperCamelCase      :  Optional[Any]       =   parser.add_argument_group(
							    "Config Arguments"		,    "Arguments that can be configured through `accelerate config`.")
							config_args.add_argument(
							    "--config_file"		,    type=_lowerCamelCase		,    default=_lowerCamelCase		,    help="Path to the config file to use for accelerate."		,    )
							config_args.add_argument(
							    "--tpu_name"		,    default=_lowerCamelCase		,    help="The name of the TPU to use. If not specified, will use the TPU specified in the config file."		,    )
							config_args.add_argument(
							    "--tpu_zone"		,    default=_lowerCamelCase		,    help="The zone of the TPU to use. If not specified, will use the zone specified in the config file."		,    )
							__UpperCamelCase      :  Tuple       =   parser.add_argument_group("TPU Arguments"		,    "Arguments for options ran inside the TPU.")
							pod_args.add_argument(
							    "--use_alpha"		,    action="store_true"		,    help="Whether to use `gcloud alpha` when running the TPU training script instead of `gcloud`."		,    )
							pod_args.add_argument(
							    "--command_file"		,    default=_lowerCamelCase		,    help="The path to the file containing the commands to run on the pod on startup."		,    )
							pod_args.add_argument(
							    "--command"		,    action="append"		,    nargs="+"		,    help="A command to run on the pod. Can be passed multiple times."		,    )
							pod_args.add_argument(
							    "--install_accelerate"		,    action="store_true"		,    help="Whether to install accelerate on the pod. Defaults to False."		,    )
							pod_args.add_argument(
							    "--accelerate_version"		,    default="latest"		,    help="The version of accelerate to install on the pod. If not specified, will use the latest pypi version. Specify 'dev' to install from GitHub."		,    )
							pod_args.add_argument(
							    "--debug"		,    action="store_true"		,    help="If set, will print the command that would be run instead of running it.")

							if subparsers is not None:
														parser.set_defaults(func=_lowerCamelCase)
							return parser




def       _SCREAMING_SNAKE_CASE   (						_lowerCamelCase					:     List[Any])   ->       Dict:






							'''simple docstring'''





							__UpperCamelCase      :  List[str]       =   None

							# Get the default from the config file if it exists.
							if args.config_file is not None or os.path.isfile(_lowerCamelCase):
														__UpperCamelCase      :  Dict       =   load_config_from_file(args.config_file)
														if not args.command_file and defaults.command_file is not None and not args.command:
																					__UpperCamelCase      :  List[Any]       =   defaults.command_file
														if not args.command and defaults.commands is not None:
																					__UpperCamelCase      :  int       =   defaults.commands
														if not args.tpu_name:
																					__UpperCamelCase      :  int       =   defaults.tpu_name
														if not args.tpu_zone:
																					__UpperCamelCase      :  Optional[Any]       =   defaults.tpu_zone
							if args.accelerate_version == "dev":
														__UpperCamelCase      :  List[str]       =   "git+https://github.com/huggingface/accelerate.git"
							elif args.accelerate_version == "latest":
														__UpperCamelCase      :  Optional[int]       =   "accelerate -U"
							elif isinstance(parse(args.accelerate_version)		,    _lowerCamelCase):
														__UpperCamelCase      :  Union[str, Any]       =   F'accelerate=={args.accelerate_version}'

							if not args.command_file and not args.command:
														raise ValueError("You must specify either a command file or a command to run on the pod.")

							if args.command_file:
														with open(args.command_file		,    "r") as f:
																					__UpperCamelCase      :  List[Any]       =   [f.read().splitlines()]

    # To turn list of lists into list of strings
							if isinstance(args.command[0]		,    _lowerCamelCase):
														__UpperCamelCase      :  Union[str, Any]       =   [line for cmd in args.command for line in cmd]
							# Default to the shared folder and install accelerate
							__UpperCamelCase      :  str       =   ["cd /usr/share"]
							if args.install_accelerate:
														new_cmd += [F'pip install {args.accelerate_version}']
							new_cmd += args.command
							__UpperCamelCase      :  str       =   "; ".join(_lowerCamelCase)

							# Then send it to gcloud
							# Eventually try to use google-api-core to do this instead of subprocess
							__UpperCamelCase      :  List[Any]       =   ["gcloud"]
							if args.use_alpha:
														cmd += ["alpha"]
							cmd += [
							    "compute",
							    "tpus",
							    "tpu-vm",
							    "ssh",
							    args.tpu_name,
							    "--zone",
							    args.tpu_zone,
							    "--command",
							    args.command,
							    "--worker",
							    "all",
							]
							if args.debug:
														print(F'Running {" ".join(_lowerCamelCase)}')
														return
							subprocess.run(_lowerCamelCase)
							print("Successfully setup pod.")




def       _SCREAMING_SNAKE_CASE   (						)   ->       List[Any]:






							'''simple docstring'''





							__UpperCamelCase      :  Optional[Any]       =   tpu_command_parser()
							__UpperCamelCase      :  Optional[Any]       =   parser.parse_args()

							tpu_command_launcher(_lowerCamelCase)